Enhanced cloud security: Certificateless public auditing using LBMHT for malicious TPA detection

Leveraging the Lattice-Based Merkle Hash Tree (LBMHT), the paper presents a certificate-less publicly auditing technique that targets hostile third-party auditors (TPAs) in cloud settings. Without the usual burden of certificate-heavy and certificate-management-prone identity-based or encrypted with public keys structures, this method seeks to improve information safety and integrity. To enhance the effectiveness of the Key Generation Centre (KGC), decrease complexity of space, and optimise storage in the cloud, the suggested solution utilises multi-ciphertext searching using lattice-based, certificate-less verification. The concept guarantees collision-free hashes by using a Merkle Tree structure, which makes it effective for information confirmation. Based on simulation findings, LBMHT is superior to current AES and RSA methods in terms of performance, decreasing executions, encryption, and decryption durations while simultaneously decreasing communication expenses, responding duration, and memory utilisation. The suggested approach is more economical with resources and works well in scaled cloud settings because of its increased accuracy, less effect from malevolent attackers, and improved throughput. At the end of the section, we go over the benefits of the framework, which include reduced utilisation of resources and validated indicators of performance. Compared to Rivest-Shamir-Adleman (RSA) and Advanced Encryption Standard (AES), the suggested LBMHT method has a higher overall accuracy of 99.4 percent. The efficiency of LBMHT in securely organising and analysing data is shown by its great accuracy.